Now Hiring: Machine Learning Scientist

See technology adoption in action and uncover the potential that AI holds -- join our team!

Amii is thrilled to add a Machine Learning Scientist to our Team! We work directly with clients who are eager to implement machine learning into their businesses and are looking for an individual that can provide the scientific guidance and excellence needed to make it happen.

This is an incredible opportunity to have a front-row seat to see technology adoption in action and uncover the potential that AI holds. Our clients will entrust you with the guidance and direction of their innovative projects, and we are looking for someone who will share their level of ambition and dedication.

We're looking for a driven candidate who will lead client engagements and has expertise in applying machine learning to topics in biology. You’re likely our ideal candidate if you:

• Are self-motivated and thrive in an ambiguous environment
• Can translate technical concepts to non-technical audiences
• Enjoy mentoring individuals and sharing knowledge with others

You will work alongside a team of accomplished individuals who are passionate about driving AI adoption forward. Be a part of a hard-working team that values culture and likes to have fun. If you’re interested in being part of the organization that unlocks this opportunity in Alberta, we would love to hear from you.

- Mara Cairo, Product Owner - Apprentice & Shazan Jabbar, Lead Machine Learning Scientist

About Amii

One of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

Job Purpose & Accountabilities

The Machine Learning Scientist serves as a key member of the Apprentice Team and an active participant in maintaining Amii's reputation for scientific excellence and providing insight into their area of expertise.

The Machine Learning Scientist (MLS) uses their scientific knowledge and applied research experience to direct the research and development efforts of Amii Industry Partners and Clients. They bridge the gap between business opportunities and fundamental ML techniques, providing scientific oversight on technical projects. They advise clients on the scoping and definition of machine learning projects and coach companies through the iterative stages of the Machine Learning Process Lifecycle (MLPL). This includes making informed decisions about what the data requirements are, what modelling techniques should be tested, what technical resources need to be onboarded when more background research is required, and how success will be evaluated. The MLS is also responsible for providing leadership and mentorship to junior team members

In addition to providing guidance to industry partners, the MLS will support fundamental research through partnerships with Amii Fellows and their students, working with one of the best ML departments in the world.

Scientists empower Amii clients with the knowledge and skills they need to advance on the AI Adoption Spectrum by applying their unique combination of research and industry experience. They support Amii's internal teams as subject matter experts based on their technical specialties and applied Machine Learning experience.

The role focuses on achieving excellence in three main accountabilities:

• Industry Engagement: working with Amii clients to advance their ML projects and capabilities
• Stakeholder satisfaction: supporting Amii staff as subject matter experts
• Research: supporting the advancement of ML research

Qualifications

• Graduate degree in Machine Learning or related field with equivalent experience in Machine Learning
• 2 or more years of experience developing, training, and evaluating machine learning models in an applied setting.
• Applied research or industry experience at the intersection of machine learning and biology
• Proficient in at least one programming language eg: Python, Java, C++ or R
• Able to work in CoLab or Jupyter notebooks, comfortable with Python, scikit-learn, and pandas.
• Publication record in peer-reviewed academic conferences or relevant journals
• Ability to communicate on technical topics with a non-technical audience
• General understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
• Up-to-date knowledge within their particular specialties

Attributes & Expectations

• Critical and independent thought
• Collegiality and willingness to listen to feedback and support teammates
• Intellectual curiosity and the desire to learn new things, techniques, and technologies
• Able to work independently and make informed decisions while collaborating with staff and subject matter experts when appropriate
• Able to identify gaps in knowledge and triage their own learning appropriately
• Flexibility and willingness to adapt, including working with disparate data, skill levels, and client needs
• Active participation in the research community: publishing research, serving as research reviewers, supporting Amii students, speaking or teaching within their area of expertise.
• Comfortable taking a leadership role with Amii clients, providing scientific expertise and mentorship for clients’ internal teams, Amii interns and associates

What you'll love about us

• A professional yet casual work environment that encourages the growth and development of your skills.
• A chance to learn from amazing teammates who support one another to succeed.
• Competitive compensation including paid time off and flexible health benefits.
• A modern office located in downtown Edmonton, Alberta.

If this sounds like the opportunity you've been waiting for, then please don’t wait to apply! To apply, please send your resume and cover letter indicating why you think you'd be a fit for Amii through the listing on Indeed by July 30, 2021.

Applicants must be legally eligible to work in Canada at the time of application

Amii is proud to be an equal opportunity employer. We are committed to creating a diverse, inclusive and excellent workforce.